An Improved WSQ Fingerprint Image Compression Algorithm

被引：1
|
作者：
Tang, Jinshan [1 ]
Liu, Xiaoming
机构：
[1] Alcorn State Univ, Dept Adv Technol, Syst Res Inst, Image Proc & Bioimaging Res Lab, Lorman, MS 39096 USA
来源：
2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4 | 2008年
关键词：
D O I：
10.1109/ACSSC.2008.5074621
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The Wavelet/Scalar Quantization (NN'SQ) [1] fingerprint image compression algorithm is effective and has been widely applied to fingerprint image compression. However, WSQ cannot control the compression ratio and its performance on fuzzy images is poor. We propose an improved WSQ fingerprint image compression algorithm to overcome the above shortcomings. Our algorithm uses a mixed quantizer so that the algorithm can treat fuzzy and non-fuzzy fingerprint images separately. In order to control the compression ratio, an optimization algorithm is designed to select the best quantization parameters for a specific compression ratio. The proposed algorithm is compared with the traditional WSQ fingerprint image compression algorithm and the results are encouraging.
引用
收藏
页码：1267 / +
页数：2
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